// Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//     http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

#include "core/operation/concat.h"
#include "driver/rockchip_npu/converter/converter.h"
#include "utility/debug.h"
#include "utility/logging.h"

namespace nnadapter {
namespace rockchip_npu {

int ConvertConcat(Converter* converter, hal::Operation* operation) {
  CONCAT_OPERATION_EXTRACT_INPUTS_OUTPUTS

  // Convert to rknpu tensors and operators
  std::vector<std::shared_ptr<rk::nn::Tensor>> input_tensors;
  for (int i = 0; i < input_count - 1; i++) {
    auto input_operand = input_operands[i];
    auto input_tensor = converter->GetMappedTensor(input_operand);
    if (!input_tensor) {
      input_tensor = converter->ConvertOperand(input_operand);
    }
    input_tensors.push_back(input_tensor);
  }
  auto output_tensor = converter->ConvertOperand(output_operand);
  rk::nn::ConcatAttr attr;
  attr.axis = axis;
  std::vector<std::shared_ptr<rk::nn::Tensor>> output_tensors = {output_tensor};
  converter->AddOperator(
      rk::nn::OperatorType::CONCAT, input_tensors, output_tensors, &attr);
  return NNADAPTER_NO_ERROR;
}

}  // namespace rockchip_npu
}  // namespace nnadapter
